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Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
Manuel T. Rein; Jeroen K. Vermunt; Kim De Roover; Leonie V. D. E. Vogelsmeier – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…
Descriptors: Measurement Techniques, Factor Analysis, Scores, Validity
Jeffery Buckley – Journal of Technology Education, 2024
The use of adaptive comparative judgement (ACJ) for assessment in technology education has been topical since its introduction to the field through the e-scape project coordinated by the Technology Education Research Unit in the United Kingdom. In the last decade, however, there has been an increasing volume of research examining how ACJ can and…
Descriptors: Foreign Countries, Technology Uses in Education, Open Source Technology, Computer Oriented Programs
C. Sean Burns; Jennifer Pusateri; Daniela K. DiGiacomo – Journal of Education for Library and Information Science, 2025
This paper presents a novel approach to designing an online, open-source course in systems librarianship, an area of librarianship that may be perceived as complex and intimidating because of the technologies involved. The course design focuses on making systems librarianship more approachable for library and information science students who may…
Descriptors: Library Science, Online Courses, Open Education, Instructional Design